Prof. Jason Friedman
Neuroscience, Medicine
Effects of increasing variability during training on motor learning
Neuroscience
Medicine
- School of Medicine
As a student, you'll have the unique opportunity to explore techniques for accelerating human motor learning by altering the structure of variance, in both younger and older adults. This PhD position is part of the TReND doctoral network, a prestigious initiative funded by the European Union.
TReND is an acronym for 'Translational Research Network in Motor Disorder Rehabilitation: Advancing understanding of variability in motor control and learning, to enhance clinical practice'.
Your tasks will include running experiments on human subjects, as well as modeling and data analysis. You will need to communicate and disseminate your research results to different target audiences and sectors (e.g., research, clinical, and industry), and publish your research results in highly-ranked international journals and at highly recognized international conferences.
You will be expected to collaborate with an international consortium in the externally funded MSCA doctoral network TReND, including participation in the network’s training program, including in-person events (e.g., summer schools) and online events (e.g., lecture series, colloquia, etc.). This position is fully funded and is tied to working towards a doctorate.
Application Deadline: April 26, 2024
Starting Date: November 1, 2024
We warmly welcome students with a diverse background in human movement science, motor control, kinesiology, rehabilitation, behavioral sciences, cognitive science, or biomedical engineering to apply. Applicants can be of any nationality, but must not have a residence or performed their main activity in Israel for more than 12 months out of the last 36 months before the recruitment date, and must not have a doctoral degree.
Candidates must be eligible to apply to the PhD program of the Graduate School of the Faculty of Medical and Health Sciences at Tel Aviv University.
Desirable skills include experience in human movement analysis (e.g., motion tracking, force measurement) or neuroscience methods (e.g., EEG), basic or advanced programming and data analysis experience (e.g., Matlab, R, python), basic knowledge of time series analysis, experience in working with human participants, and good communication skills and an ability to work independently.
Detailed information about admission requirements can be found here.
